Evaluating Advanced Machine Learning Models for Histopathological Diagnosis of Hansen Disease

The ANN model emerges as a promising alternative for leprosy detection. However, further refinement of these models is necessary to enhance their adaptability across different clinical settings and participation in patient care.

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Publication Details

Journal
American Journal of Dermatopathology
Published
2024-11-05
DOI
https://doi.org/10.1097/dad.0000000000002875
Citations
2
Primary Topic
Leprosy Research and Treatment
Type
article
Field-Weighted Citation Impact
0.78
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article

Evaluating Advanced Machine Learning Models for Histopathological Diagnosis of Hansen Disease

Nora Cardona‐Castro, Héctor Serrano‐Coll, Juan Pablo Ospina‐Gómez, Mariana Vargas-Clavijo
2 citations
American Journal of Dermatopathology
Leprosy Research and Treatment
0.78
article

Evaluating Advanced Machine Learning Models for Histopathological Diagnosis of Hansen Disease

Nora Cardona‐Castro, Héctor Serrano‐Coll, Juan Pablo Ospina‐Gómez, Mariana Vargas-Clavijo
article en
2 citations

Abstract

The ANN model emerges as a promising alternative for leprosy detection. However, further refinement of these models is necessary to enhance their adaptability across different clinical settings and participation in patient care.

American Journal of DermatopathologyVol. 47(4)
Universidad de Antioquia (CO), Instituto Colombiano de Medicina Tropical (CO), Clínica CES (CO)
Industry, innovation and infrastructure
Openalex Percentile: Top 27%
Leprosy Research and Treatment
0.78
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